This paper presents an accurate model to forecast voltage deviation with improved BP neural network,which concerns with the meteorological factors.The proposed method is a combination of PCA dimension reduction,AP clustering and BP neural network.The proposed method is successfully applied to actual data and the practical application results proved that the mean absolute percentage error (MAPE) of the proposed method is 3.06%,which is obviously better than that of other methods.
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王知芳,杨秀,潘爱强.一种新的电压偏差预测方法[J].电力工程技术,2018,37(5):26-31. WANG Zhifang, YANG Xiu, PAN Aiqiang. A Method of Short-term Voltage Deviation Forecasting[J]. Electric Power Engineering Technology,2018,37(5):26-31.